Triple
T5102386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesla export hub |
E115009
|
entity |
| Predicate | logisticsPartnerType |
P28699
|
FINISHED |
| Object | ocean freight carriers |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ocean freight carriers | Statement: [Tesla export hub, logisticsPartnerType, ocean freight carriers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logisticsPartnerType Context triple: [Tesla export hub, logisticsPartnerType, ocean freight carriers]
-
A.
tradingPartner
Indicates a relationship where two entities engage in the exchange of goods, services, or financial instruments with one another.
-
B.
servesAsCargoHubFor
Indicates that one entity functions as a central location or facility for handling, consolidating, and distributing cargo associated with another entity.
-
C.
ownedShippingLine
Indicates that one entity possessed legal ownership or controlling interest in a particular shipping line.
-
D.
cooperationPartner
Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
-
E.
logisticsFeature
chosen
Indicates that something possesses a characteristic, capability, or function specifically related to logistics operations or processes.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7586a4a08190866aea6be625837c |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.